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It Database Administrator Jobs

8,790 active opportunities · Updated for October 2026

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Mongodb
📍 Sydney• Full-time
1mo ago

MongoDB Technical Services Engineers use their outstanding problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Services Engineers in the Infrastructure team are skilled in automation, backup, performance, and security that underpins mission-critical deployments at scale. In addition engineers within the team have specialisations in advanced technology areas such as Search, Vector Search, auto-embedding, event-driven and agentic workloads. Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to achieve exceptional results for our customers. The position will be based in our Sydney office. The standard work week post ramping will be Tuesday to Saturday, every week. Why MongoDB is a fantastic place to work and build your career Be a part of the company that’s reinventing the database, passionate about innovation and speed Enjoy a fun, inspiring culture that is engineering focused Work with exceptionally talented people around the globe Learn, contribute, and make an impact on the product and community Cool things you’ll do MongoDB, the developer data platform and AI platform of choice for modern applications, is on a mission to change the way people think about databases. As they build intelligent, data-driven experiences on our platform, our customers naturally encounter questions and challenges about how our approach to data and databases fits their specific use cases and architectural needs. In Technical Services, it’s our job to guide these people, helping them design, operate, and optimize their solutions so they can succeed with MongoDB. You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, wh

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Mongodb
📍 Dublin; Ireland• Full-time
1mo ago

Senior Product Manager, Cluster Scalability Location: Dublin About the Role MongoDB is hiring a Senior Product Manager to own scalability for the Atlas data platform. Atlas is how the world’s most demanding applications run on MongoDB — from real-time gaming and financial transactions to AI workloads with unpredictable traffic patterns. When those applications grow, slow down, spike, or contract, scalability is the layer that decides whether the customer trusts us to keep running their business. This role owns the end-to-end product experience for how customers scale up, scale down, and horizontally scale their Atlas deployments. That includes vertical scaling (instance tier changes), autoscaling, horizontal scaling (sharding and shard key strategy), and the operational workflows around all of them. You will set the strategy, drive execution with engineering, and be accountable for measurable year-over-year improvements in how reliably and predictably customers scale. We care less about whether you’ve worked on databases before and more about whether you’re the kind of PM who can ramp fast on a hard technical domain, form a clear opinion about what needs to happen, and defend that opinion to senior engineers, field partners, and enterprise CTOs, especially when they disagree with you. Database and scaling concepts are teachable. Judgment, conviction, and crispness are not. Responsibilities Set a clear, opinionated vision and strategy for Atlas cluster scalability and translate it into concrete, prioritized bets each release. Own the end-to-end roadmap for vertical scaling, autoscaling, and horizontal scaling, including the operational and observability surfaces customers rely on during scaling events. Make hard prioritization calls, including saying no to things with real customer or leadership support, and own those decisions and their consequences. Build deep technical understandin

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1mo ago

We like to say, “Come to MongoDB and get your Masters in Sales” where we spend 7x the industry average on rep enablement. We’re investing in ways to not only attract, hire, and develop top talent but also ensure our Account Executives are set up for long-term success on their individual career paths . Come & join our team and be at the forefront of what we believe is the perfect blend of career opportunity, innovative technology, and top-tier enablement! We are looking to speak to candidates who are based in the Bengaluru, Gurugram or Mumbai office for our hybrid working model. The Opportunity We’re looking for reps that are hungry to sell into the next up-and-coming companies in India that are disruptive within their respective industries. We have over 200M downloads and work with innovative corporate companies like Zepto, Ubuy, SonyLIV, Zomato, Canara HSBC Life and others that are leveraging our technology every single day. According to the IDC, there are over 500 million new applications being built over the next 5 years and you would be tasked with landing a high volume of those quality new logos. Primarily selling the MongoDB Atlas platform, the most advanced cloud database service on the market, you have the opportunity to directly influence MongoDB’s upward growth trajectory. Day to Day Cultivate sales through outbound prospecting and inbound leads Meeting customers in-field and closing deals Prospect into CTOs, Engineering/IT leaders, and technical end users Meet and exceed individual monthly, quarterly, and annual Quarterly targets Manage the full sales cycle for both Atlas and Professional Services Manage a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach Handle quote creation and order processing Collaborate with the Sales ecosystem like Marketing, Account Development, Solutions Architects, and others. What you bring to the table 5 years to 20 yea

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Manager, Sales Development About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. The Opportunity: We are seeking a dynamic, results-driven leader with exceptional energy, passion, and initiative to oversee a team of Sales Development Managers for MongoDB, the world’s fastest-growing database.As the Manager of Sales Development, this role will emphasize developing top-tier talent, driving team performance, and advancing sales pipeline goals to support MongoDB’s continued momentum. Qualified candidates will be based in our Kuala Lumpur office and are open to a flexible, hybrid work schedule that includes regular in-office collaboration. Day to Day Attract, hire, retain, and develop talent Provide strong coaching and mentoring through a deep understanding of sales, our business model, and our sales methodology. Be involved in prospect qualification and discovery calls/meetings Provide weekly team performance summary as well as timely and accurate forecast to senior management based Cross functional collaboration to establish

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OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team The B2B Marketing team is responsible for helping businesses understand, adopt, and get value from OpenAI’s products. B2B marketing is a major and growing priority for OpenAI as we scale our work with companies, developers, and institutions around the world. About the Role Within B2B Marketing, Demand Generation builds the integrated, full-funnel engine that connects audience insights, content, field and digital experiences, paid media, lifecycle, and sales follow-through to qualified pipeline. We partner closely with Sales, Partnerships, Product Marketing, Communications, Creative, Web, RevOps, Analytics, and regional teams to create a cohesive customer experience and scale what works. We’re looking for a Senior Lifecycle Strategist to define how prospects and customers move through personalized, signal-driven journeys across the B2B lifecycle. You’ll own lifecycle strategy, audience and journey architecture, testing priorities, and performance recommendations while partnering closely with a Lifecycle Marketing Manager on build and delivery. Initially, the role will focus on prospect nurture, database activation, and sales handoff; over time, it will help expand our lifecycle capabilities across adoption, cross-sell, upsell, retention, and re-engagement. In this role, you will: Define the B2B lifecycle strategy, journey architecture, audience framework, communication principles, and roadmap across prospect and customer stages. Design nurture and activation programs that respond to fit, persona, segment, product interest, engagement, intent, and sales status rather than relying on one generic journey. Partner with RevOps, Data, Web, SDR, Sales, and Product teams to establish reliable triggers, scoring inputs, routing logic, suppression rules, exits, and service levels. Work closely with the Lifecycle Marketing Manager to translate strategy into clear program requirements, content needs, build plans, QA standards, and launch sequencing. Own the lifecyc

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Snowflake
📍 Menlo Park• Full-time
1mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is expanding the boundaries of the Data Cloud to support mission-critical transactional workloads. Our goal is to deliver OLTP capabilities with the performance, reliability, simplicity, and scale customers expect from Snowflake, while creating a seamless experience across transactional and analytical data. We are looking for a Senior Engineering Manager – OLTP to lead engineering teams and leaders building core transactional database technology and the cloud infrastructure required to operate it at scale. You will help define the architecture and roadmap, grow the organization, and drive technology from design through production. AS A SENIOR ENGINEERING MANAGER – OLTP AT SNOWFLAKE, YOU WILL: Set technical and execution strategy for key areas of Snowflake's OLTP platform, translating product goals into architecture, roadmaps, and team plans. Lead and grow multiple engineering teams, developing managers and senior technical leaders while fostering a culture of ownership, technical excellence, and execution. Drive adoption of AI and agentic development practices to improve engineering velocity, quality, and productivity across the software development lifecycle. Drive architecture and technical decisions in areas such as transactions, concurrency control, low-latenc

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Snowflake
📍 Illinois• Full-time• $220K – $288K/yr
1mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset— who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are seeking a Chicago-Based Senior Solution Engineer to solve customers' complex problems and drive large deal closures. This role combines technical expertise with business acumen, working directly with sales teams and channel partners to understand customer needs, provide compelling demonstrations, and support enterprise Proof of Concepts. The ideal candidate will be passionate about reinventing the database space — including how AI and ML are transforming it — and comfortable engaging with both executive and technical audiences. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Present Sno

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Job Overview Wargaming is looking for a Manual QA Engineer to join the Global IT Products department and help ensure the quality of internal corporate systems and services. You will work with a variety of products, from web applications to complex microservices and integrations, applying testing approaches and techniques based on the specific needs of each product. The role offers an opportunity to work with complex business logic, large datasets, and different types of internal systems while taking ownership of the quality of products. We also value initiative: while the core tools and approaches are defined by each product's needs, we encourage QA Engineers to identify opportunities for improvement and suggest additional tools or practices when they can bring value to the product and team. Reports to Head of Quality Assurance What will you do Independent implementation of the full cycle of project testing (functional testing of web applications, microservices, API) Product testing without ready requirements Creation and maintenance of test documentation Acceptance of builds before releases, quality control of defect fixes Monitoring of reports on errors and failures Analysis and testing of project/product requirements Evaluation of testing work Participation in team meetings What are we looking for? 2+ years of experience as a QA Engineer Strong analytical skills and experience working with big datasets, calculations, corporate applications with complex business logic Experience in testing web applications and microservices Strong knowledge of testing methodologies and software development life cycles Understanding of client-server architecture principles Experience in writing test cases and checklists Experience with bug and task tracking, documentation, and test case management tools (Jira, Confluence, TestRail) Experience working with databases (PostgreSQL, MS SQL Server) and SQL Good Excel skills and experience working with data, calculations, and spread

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Cloudflare
📍 In Office• Full-time• $185K – $254K/yr
1mo ago

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations | Austin, TX or Seattle, WA About the Role Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive s

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Education Degree, Post graduate in Computer Science or related field (or equivalent industry experience) Experience Extensive knowledge of Wealth Management, architecture, modules and hands on experience of front to back implementation of Wealth Management Suite Minimum 8 years of experience in Wealth Management Must have good experience of handling Trade Life Cycle Must have experience in implementing End to End solution in Wealth Management Must have good experience in API integration. Technical Skills Should have development experience in SQL-languages with understanding of SQL-databases Excellent understanding of the Asset Management and Investment Banking Experience in Business Analysis and System Implementation with extensive experience in Trading platforms Working knowledge of industry related protocols including FIX, EMSX and TSOX Experience in Wealth Management and Trading systems including Advent, SAXO, SWIFT, Bloomberg, Reuters General understanding of event driven systems Functional Skills Experience in Banking, Financial and Fintech experience in an enterprise environment preferred Experience in following best Coding, Security, Unit testing and Documentation standards and practices Experience in Agile methodology Effectively research and benchmark technology against other best in class technologies Focus on quality of the deliverables to ensure long term stability of the system Soft Skills Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness, by sharing deep knowledge and experience Self-motivator and self-starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization Have excellent soft skills and interpersonal skills to interact and present the ideas to Senior and Executive management

sqlagileai
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Position Summary: The Outsystems Support Analyst is responsible for providing technical support and maintenance for applications built using the Outsystems low-code platform. This role involves troubleshooting issues, managing updates, ensuring system stability, and working closely with development teams to improve system performance. The ideal candidate should have strong technical expertise, problem-solving skills, and a customer-focused mindset. Key Responsibilities: Application Support: Provide first- and second-line support for Outsystems applications. Troubleshoot and resolve incidents, bugs, and performance issues in a timely manner. Manage support tickets, prioritize tasks, and ensure timely resolution. System Maintenance: Monitor the health and performance of Outsystems applications. Apply updates, patches, and system upgrades as required. Perform routine maintenance tasks to ensure application stability. Collaboration: Work closely with developers, testers, and business analysts to identify and resolve technical issues. Liaise with end-users and stakeholders to gather feedback and provide support. Assist in the deployment and configuration of Outsystems applications. Documentation: Maintain technical and operational documentation for supported applications. Create user guides, troubleshooting documents, and knowledge base articles. Process Improvement: Identify areas for improvement in the support process. Propose and implement solutions to enhance application performance and user experience. Required Skills and Qualifications: Technical Skills: Experience with the Outsystems low-code platform. Proficiency in relational databases (e.g., SQL Server, Oracle). Understanding of APIs, web services, and integration concepts. Basic knowledge of scripting and programming languages (e.g., JavaScript, .NET). Problem-Solving: Strong analytical and troubleshooting skills. Ability to identify root causes and implement effective solutions. Communication: Excellent verba

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15 days ago

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Drive the evolution of Everpure’s enterprise connectivity by designing and deploying robust integration solutions that power our Go-To-Market (GTM) strategy . Collaborating closely with Digital Transformation Group Architects and cross-functional business partners, you will establish the Integration North Star and build scalable middleware pipelines. In this role, you will eliminate data silos, optimize workflow architectures, and directly accelerate business performance across core commercial platforms . WHAT YOU'LL DO Architect & Implement Integration Enablers: Design and build enterprise-grade Boomi integration components (API, EDI, and FLOW) to connect critical enterprise endpoints including Salesforce, SAP, Workday, NetSuite, and Kafka . Optimize Integration Workflows: Conduct technical analysis and re-engineer legacy middleware processes to simplify data flows, lower system latency, and enhance output quality across all GTM operations. Drive Strategic Alignment: Collaborate with Digital Transformation Group Architects to translate business vision into scalable, event-driven, and real-time integration patterns using web services, databases, ETL, and messaging streams . Deliver High-Availability Solutions: Establish operational standards and monitor process performance metrics to ensure seamless, reliable data exchange across global business operations. WHAT YOU BRING Expertise in Boomi & Middleware Ar

awsgitrest
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About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Most of the value of owning a model shows up at serving time. We're building a platform that covers the whole life of an LLM -- train it, deploy it, observe it -- and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. What you'll do: Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spik

restaigo
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AI agents are transforming the way developers interact with software - and databases are no exception. We're seeking a Senior Software Engineer to join our AI Interfaces team within AI Builder Experience (ABX), where you'll provide technical direction, shape architecture, and build the core products that make it seamless for developers and AI agents to work with MongoDB. Our team owns the surfaces through which humans and agents connect to MongoDB - including the MongoDB MCP Server, Agent Skills, our Intelligent Assistant Platform, and purpose-built agents. In short: if it's how an agent talks to MongoDB, we're building it. This is a new team charting new territory, and as a Senior Software Engineer here, you'll be right at the frontier - building the technologies that let AI applications and agentic workflows work seamlessly with MongoDB at scale. You'll integrate with fast-moving, often unproven technologies, make pragmatic calls in the face of ambiguity, and own high-visibility projects end to end with minimal guidance. We're looking for product-minded engineers who thrive on autonomy and take pride in shipping. MongoDB engineering teams pride themselves on building high-quality software and living our cultural values every day - we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. This position requires participation in a 24/7 on-call rotation to ensure business continuity and incident response capabilities. This role can be based out of our Gurugram office. Position Expectations Work closely with research, product management, product engineering, product design, peers, as well as other teams within the company to define the first version and future evolution of our AI interfaces Design, build, and deliver well-tested core pieces of the platform - including the MongoDB MCP Server, Agent Skills, the Intelligent Assistant Platform, and purpose-built agents - in collaboration with othe

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Modal
📍 New York• Full-time
10 days ago

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About Modal Data: We’re growing our Data team and are looking for our first few key hires to build self-serve data tools and drive business strategy in the right direction. The mission of the Modal Data team is to make it easy to track company goals, make evidence-backed decisions, and prioritize the right work. We do this via: Self-serve AI analytics tools (Hex, Snowflake) Embedding with teams as a “data adviser”, providing strategic analysis and consulting What You'll Do: Contribute to building the most modern analytics stack in Data today to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting Influence work on new products like LLM Inference Endpoints through product analytics tracking Identify millions of dollars of cost savings and optimization across our tools and financial operations Write data pipelines that power the operatio

pythonsqlai
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